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IMMUNE CELL MONOCYTES Show tissue menu
B-CELLS DENDRITIC CELLS GRANULOCYTES MONOCYTES NK-CELLS PROGENITORS T-CELLS TOTAL PBMC
Immune cell proteome
Monocytes
MONOCYTES - Expression summary
Protein profiling
Multiplex tissuei

A summary of the protein localization in the current human tissue based on multiplex immunohistochemistry profiling in selected tissues is shown for genes where this analysis has been performed.

Protein expressioni

On the top, protein expression in current human tissue, based on all annotated cell types, is reported with the units not detected (n), low (l), medium (m) and high (h). Underneath, protein expression in each annotated cell type are reported using the same units.

Protein expression data is based on knowledge-based annotation. For genes where more than one antibody has been used, a collective score is set.

If knowledge-based annotation could not be performed for a gene, no data is displayed here. View antibody staining data further down this page.

Read more
No data
RNA expressioni

A summary of mRNA expression data available for current tissue based on several datasets. The mRNA expression levels in human tissues are based on RNA-seq data generated by the Human Protein Atlas (HPA), Genotype-Tissue Expression (GTEx) portal and CAGE data generated by the FANTOM5 consortium. Consensus normalized expression levels for human tissues was created by combining the data from HPA and GTEx datasets.

The mRNA expression levels in pig are based on RNA-seq data generated by the Human Protein Atlas (HPA), and for mouse, HPA data and in situ hybridization generated by the Allen brain atlas are reported.

Scroll down to view mRNA expression data in more detail.
Read more
HPA:3.4 nTPM
Monaco:14.6 nTPM
Schmiedel:18.9 TPM

MONOCYTES - HPA RNA-seqi

The RNA-seq details section shows detailed information about the individual samples used for the transcript profiling and results of the RNA-seq analysis.

Information about each individual sample is listed below. nTPM (normalized transcripts per million) values give a quantification of the gene abundance which is comparable between different genes and samples. Distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. nTPM values of the individual samples are presented next to the box plot.
Read more
Max nTPM 3.4
HPA sample nTPM
Classical monocyte
nTPM: 3.4
Samples: 6

Max nTPM: 5.9
Min nTPM: 1.8
P10809_1003 2.3
P10809_1020 3.4
P10809_1039 5.9
P10809_1058 1.8
P10809_1080 2.7
P10809_1107 4.2
Intermediate monocyte
nTPM: 3.0
Samples: 6

Max nTPM: 5.2
Min nTPM: 0.0
P10809_1004 1.7
P10809_1023 4.4
P10809_1042 4.7
P10809_1061 0.0
P10809_1081 1.7
P10809_1108 5.2
Non-classical monocyte
nTPM: 2.1
Samples: 5

Max nTPM: 4.8
Min nTPM: 0.0
P10809_1005 4.8
P10809_1053 1.0
P10809_1072 0.0
P10809_1082 2.2
P10809_1109 2.5

MONOCYTES - Monaco RNA-seqi

RNA-Seq data generated by Monaco et al is reported as average nTPM.

The RNA-seq details section shows detailed information about the individual samples used for the transcript profiling and results of the RNA-seq analysis.

Information about each individual sample is listed below. nTPM (normalized transcripts per million) values give a quantification of the gene abundance which is comparable between different genes and samples. Distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. nTPM values of the individual samples are presented next to the box plot.

Read more
Max nTPM 14.6
Monaco sample nTPM
Classical monocyte
nTPM: 9.1
Samples: 4

Max nTPM: 11.7
Min nTPM: 6.7
RHH5313_R3680 11.1
RHH5221_R3593 6.7
RHH5250_R3622 6.8
RHH5279_R3651 11.7
Intermediate monocyte
nTPM: 14.6
Samples: 4

Max nTPM: 18.7
Min nTPM: 9.8
RHH5314_R3681 9.8
RHH5222_R3594 12.5
RHH5251_R3623 18.7
RHH5280_R3652 17.4
Non-classical monocyte
nTPM: 12.3
Samples: 4

Max nTPM: 16.5
Min nTPM: 8.1
RHH5315_R3682 16.5
RHH5223_R3595 9.8
RHH5252_R3624 8.1
RHH5281_R3653 14.6

MONOCYTES - Schmiedel RNA-seqi

RNA-Seq data generated by Schmiedel et al is reported as average TPM.

The RNA-seq details section shows detailed information about the individual samples used for the transcript profiling and results of the RNA-seq analysis.

Information about each individual sample is listed below. TPM (transcripts per million) values give a quantification of the gene abundance which is comparable between different genes and samples. Distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. TPM values of the individual samples are presented next to the box plot.

Read more
Max TPM 18.9
Schmiedel sample id TPM
Classical monocyte
TPM: 18.9
Samples: 106

Max TPM: 25.8
Min TPM: 11.4
MONOCYTES_1 25.8
MONOCYTES_2 25.4
MONOCYTES_3 25.2
MONOCYTES_4 25.1
MONOCYTES_5 24.4
MONOCYTES_6 24.3
MONOCYTES_7 24.0
MONOCYTES_8 23.9
MONOCYTES_9 23.9
MONOCYTES_10 23.4
MONOCYTES_11 23.3
MONOCYTES_12 23.3
MONOCYTES_13 23.1
MONOCYTES_14 23.0
MONOCYTES_15 23.0
MONOCYTES_16 22.9
MONOCYTES_17 22.6
MONOCYTES_18 22.6
MONOCYTES_19 22.6
MONOCYTES_20 22.6
MONOCYTES_21 22.3
MONOCYTES_22 22.3
MONOCYTES_23 22.1
MONOCYTES_24 22.1
MONOCYTES_25 21.8
MONOCYTES_26 21.5
MONOCYTES_27 21.4
MONOCYTES_28 21.4
MONOCYTES_29 21.4
MONOCYTES_30 21.3
MONOCYTES_31 21.2
MONOCYTES_32 21.2
MONOCYTES_33 21.2
MONOCYTES_34 21.2
MONOCYTES_35 21.2
MONOCYTES_36 21.1
MONOCYTES_37 21.0
MONOCYTES_38 21.0
MONOCYTES_39 20.9
MONOCYTES_40 20.7
MONOCYTES_41 20.6
MONOCYTES_42 20.6
MONOCYTES_43 20.5
MONOCYTES_44 20.3
MONOCYTES_45 20.3
MONOCYTES_46 20.3
MONOCYTES_47 20.2
MONOCYTES_48 20.2
MONOCYTES_49 20.0
MONOCYTES_50 19.9
MONOCYTES_51 19.8
MONOCYTES_52 19.7
MONOCYTES_53 19.4
MONOCYTES_54 19.3
MONOCYTES_55 19.2
MONOCYTES_56 19.1
MONOCYTES_57 19.1
MONOCYTES_58 19.0
MONOCYTES_59 19.0
MONOCYTES_60 18.9
MONOCYTES_61 18.8
MONOCYTES_62 18.8
MONOCYTES_63 18.7
MONOCYTES_64 18.6
MONOCYTES_65 18.6
MONOCYTES_66 18.2
MONOCYTES_67 18.2
MONOCYTES_68 17.8
MONOCYTES_69 17.8
MONOCYTES_70 17.7
MONOCYTES_71 17.7
MONOCYTES_72 17.5
MONOCYTES_73 17.5
MONOCYTES_74 17.3
MONOCYTES_75 17.3
MONOCYTES_76 17.2
MONOCYTES_77 16.7
MONOCYTES_78 16.6
MONOCYTES_79 16.4
MONOCYTES_80 16.3
MONOCYTES_81 16.2
MONOCYTES_82 16.0
MONOCYTES_83 15.9
MONOCYTES_84 15.8
MONOCYTES_85 15.5
MONOCYTES_86 15.2
MONOCYTES_87 14.6
MONOCYTES_88 14.5
MONOCYTES_89 14.5
MONOCYTES_90 14.5
MONOCYTES_91 14.4
MONOCYTES_92 13.8
MONOCYTES_93 13.6
MONOCYTES_94 13.6
MONOCYTES_95 13.5
MONOCYTES_96 13.3
MONOCYTES_97 13.2
MONOCYTES_98 12.6
MONOCYTES_99 12.3
MONOCYTES_100 12.2
MONOCYTES_101 12.0
MONOCYTES_102 12.0
MONOCYTES_103 12.0
MONOCYTES_104 11.9
MONOCYTES_105 11.9
MONOCYTES_106 11.4
Show allShow less
Non-classical monocyte
TPM: 18.5
Samples: 105

Max TPM: 28.0
Min TPM: 6.8
M2_1 28.0
M2_2 27.5
M2_3 27.3
M2_4 26.4
M2_5 26.4
M2_6 25.9
M2_7 25.8
M2_8 25.5
M2_9 24.8
M2_10 24.6
M2_11 24.6
M2_12 24.1
M2_13 24.0
M2_14 23.9
M2_15 23.9
M2_16 23.8
M2_17 23.7
M2_18 23.7
M2_19 23.5
M2_20 23.4
M2_21 23.4
M2_22 23.0
M2_23 22.8
M2_24 22.6
M2_25 22.5
M2_26 22.5
M2_27 22.2
M2_28 22.1
M2_29 22.1
M2_30 22.1
M2_31 21.9
M2_32 21.8
M2_33 21.7
M2_34 21.5
M2_35 21.4
M2_36 21.4
M2_37 21.3
M2_38 21.3
M2_39 21.2
M2_40 21.0
M2_41 21.0
M2_42 20.9
M2_43 20.8
M2_44 20.7
M2_45 20.1
M2_46 20.1
M2_47 20.0
M2_48 20.0
M2_49 19.9
M2_50 19.3
M2_51 19.3
M2_52 19.3
M2_53 19.2
M2_54 19.1
M2_55 19.1
M2_56 19.0
M2_57 18.9
M2_58 18.8
M2_59 18.5
M2_60 18.4
M2_61 18.3
M2_62 17.9
M2_63 17.8
M2_64 17.6
M2_65 17.5
M2_66 17.0
M2_67 16.9
M2_68 16.9
M2_69 16.8
M2_70 16.7
M2_71 16.6
M2_72 16.3
M2_73 16.0
M2_74 16.0
M2_75 16.0
M2_76 15.6
M2_77 15.5
M2_78 15.3
M2_79 15.1
M2_80 14.9
M2_81 14.2
M2_82 14.1
M2_83 14.1
M2_84 14.1
M2_85 13.6
M2_86 13.2
M2_87 13.1
M2_88 12.9
M2_89 12.6
M2_90 12.6
M2_91 11.6
M2_92 11.4
M2_93 11.1
M2_94 10.4
M2_95 10.4
M2_96 10.4
M2_97 10.3
M2_98 10.3
M2_99 10.1
M2_100 9.8
M2_101 9.6
M2_102 9.4
M2_103 8.7
M2_104 6.8
M2_105 6.8
Show allShow less

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